Ditto: End-to-End Application Cloning for Networked Cloud Services
Ditto is an automated framework that addresses the lack of representative cloud service benchmarks by creating accurate, privacy-preserving clones of complex, end-to-end cloud applications, capturing everything from application logic and I/O to kernel operations for realistic system studies.
Jan 30, 2023
Sage: Practical & Scalable ML-Driven Performance Debugging in Microservices
Sage is a machine learning-driven root cause analysis system that uses unsupervised models to accurately identify and correct performance violations in complex cloud microservices by analyzing their dependencies.
Apr 13, 2021